Multiresponse Optimization of Wire Electrical Discharge Machining Parameters for Ti-6Al-2Sn-4Zr-2Mo (α-β) Alloy Using Taguchi-Grey Relational Approach

Abstract

The Ti-6Al-2Sn-4Zr-2Mo alloy was machined using the wire electrical discharge machining (WEDM) method in this research. The consequences of input values like pulse on duration, wire tension, and wire feed on metal removal rate (MRR) and surface roughness (SR) have indeed been observed. After conducting 27 experiments using Taguchi’s L27 type of research technique, empirical designing and analysis of variance (ANOVA) were performed. For process optimization, the Taguchi technique, which is based on the grey relational analysis approach, is used. The results show that a material removal rate of 0.293 mm3/min was obtained with factors of 10 µs pulse on duration, 7 m/min of wire feed, and 12 g of wire tension (the higher the better), and surface roughness of 2.129 µm was obtained with factors of 6 µs pulse on duration, 3 m/min of wire feed, and 8 g of wire tension (the lower the better). The percentage of errors between results obtained and grey relational analysis (GRA) predicted results varies around 6%. Wire electrical discharge machining with Ti-6242 alloy to optimum conditions resulted in better MRR and surface integrity with good surface finish and integrity as evidenced by a substantial reduction in the crack formation, lumps, and accumulated surfaces.

Modeling and Optimization of MRR in Wire Electrical Discharge Machining of Silicon Particle-Reinforced AA6063 Composite

“…is uid circulates to remove molten debris from the work area while it is being machined. You can use wire EDM to make complex forms out of conductive metals like aluminum, copper, brass, titanium, and other alloys [2]. While other technologies can produce thin walls with low surface roughness and short internal corner radii, wire EDM has the advantage of having the least amount of burrs [3].…”

Multi-parametric optimization of Wire-EDM machining on artificially-aged al6061/b 4 c composite using RSM and grey relational analysis

“…Additionally, for a qualitative evaluation of the percentage contribution of the individual parameter on the GRG, the % mean of squares is shown in Table 4. The significant effects of Toff and interaction effects of Current and Toff, is clearly demonstrated in terms of their % MS, which are one order larger than the effects of other individual parameters or combinatorial/quadratic effects [26,27]. The influence of the different parameters on GRG is also presented in terms of a Pareto chart of the standardized effects (see Figure 5).…”

Nanomaterials: A Potential Hope for Life Sciences from Bench to Bedside

“…A few nanomaterials, for example, nanotubes, nanorods, nanowires, slight movies and nanoparticles are investigated for biomedical utilization because of their utilitarian electrical as well as mechanical highlights for biomedical operation. For the manufacturing of pathogenic viral biosensors, we are concentrating on the utilisation of various nanomaterials like quantum dots (QDs), carbon nanotubes, graphene oxide, silica and metal nanoparticles [13].…”